# A Quantitative Measure For Path Structures Of Complex Networks

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### Static and dynamic properties of selected stochastic

by JK Ochab Cited by 1 of random processes intertwines with the structure of complex networks. J.K. Ochab, Maximal-entropy random walk unifies centrality measures,. Phys. Rev.

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by K Ma of complex network provides a quantitative basis for the implementation path of automatic extraction of character relationships.

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by MEJ Newman 2003 Cited by 21608 that can be reached from it by paths running along edges of the graph. The quantity l can be measured for a network of n vertices and m edges in time.

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by YQ Niu 2008 Cited by 22 to detect community structures in complex networks, which have dense internal devised a quantitative measure called modularity Q to evaluate the quality

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by LF Costa 2005 Cited by 2441 of measuring the structural properties of evolving networks in The quantity Dl = NMl is the number of paths returning to the same vertex.

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by M Pujari 2015 Keywords: Complex networks, Link prediction, Supervised rank aggregation, Multi- and Girvan provide a quantitative measure for such a structure,

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by P Holme 2004 Cited by 16 have much in common with complex network studies in general: What are the relevant structures in the networks? Many structural measures.

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by M Kaiser 2008 Cited by 92 A quantitative measure for path structures of complex networks. H. F. Hansen, C. A. Andresen and A. Hansen. -. Recent citations.

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by R de Regt 2018 de Regt, R. (2018) Complex networks: shape, topology and spatial In fact, the measure of shortest path are often restricted to the giant

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by EA Karuza 2016 Cited by 67 empirical evidence motivate the importance of scaling-up quantitative complex network structure, a type of graph structure that is neither truly random

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by S Boccalettia 2006 Cited by 10949 structure and dynamics of complex networks, and summarize the relevant applications of Shortest path lengths, diameter and betweenness 134 pages

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by R Albert 1992 It is necessary to develop quantitative measures of phase infor- removal of these 'small' nodes does not alter the path structure of.

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by A Mheich 2020 Cited by 10 quantify the complex brain network. However, much less attention has been paid to methods that quantitatively compare two graphs, a crucial issue in the

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by S Wuchty 2003 Cited by 384 on the global structure of networks and introduce centrality measures and their society, it is quantified in terms of the number of shortest paths that

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In particular, degree heterogeneity, finite size effects and modular structure can all make diffusion processes on networks quantitatively and even

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by CA Andresen Cited by 4 Paper II: A quantitative measure for path structures of complex networks. In close collaboration with Henning Frydenlund Hansen I developed

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by A Tuliakova 2020 Cited by 3 you to enter new quantitative measures of complexity not existing for the time series Most complex systems inform their structural and dynamic nature by 15 pages

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This gives a quantitative measure of the complexity of the business and, each position forming a complex network instead of a hierarchical structure.

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by T OPSAHL 2017 Cited by 14 Strogatz (1998) relies on two different properties of networks: path-length and clustering. Path- length is a measure of the number of intermediaries

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factors? To quantify structural information, one needs a quantitative approach. A quantitative network measure is a mapping I : G −→ IR+.

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by L Dall'Asta 2006 Cited by 4 2 Structure of complex networks: an Overview of different statistical measures is based on the notions of distance and shortest path,.

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by D Mboup 2016 Cited by 2 qualitative elements into a solvable framework from which we can gain path length represents the most useful measure in the complex networks analysis.19 pages